India has been running large-scale interventions in the energy sector over the last decades. Still, there is a dearth of reliable and readily available price and income elasticities of demand to base these on, especially for domestic use of traditional fuels. This study uses the linear approximate almost ideal demand system (LA-AIDS) using micro data of more than 100,000 households sampled acro...

This paper presents a model of consumer demand that is consistent with the observed expenditure patterns of individual consumers in a long time series of expenditure surveys and is also able to provide a detailed welfare analysis of shifts in relative prices. A nonparametric analysis of consumer expenditure patterns suggests that Engel curves require quadratic terms in the logarithm of expendit...

This paper presents a model of consumer demand that is consistent with the observed expenditure patterns of individual consumers in a long time series of expenditure surveys and is also able to provide a detailed welfare analysis of shifts in relative prices. A nonparametric analysis of consumer expenditure patterns suggests that Engel curves require quadratic terms in the logarithm of expendit...

This paper investigates the effect of price variations on the diet composition in Britain. It describes the dynamics of food demand in relation to food prices over time using data from the British National Food Survey (NFS) covering the period 1975-2000. Demand elasticities with respect to price elasticities are estimated by solving a quadratic almost ideal demand system (QUAIDS) model controll...

We investigate the sampling efficiency for simulations of quantum many-body systems at finite temperatures when initial states are generated by applying Trotter gates to random phase product (RPPSs). restrict number applications be proportional system size, and thus preparation would easily accomplished in fault-tolerant computers. When made from a nonintegrable Hamiltonian, we observe that inc...

The analysis of time series in financial and scientific applications requires database functionality with complex specialized modeling capabilities and at the same time an easy-to-use interface. We present the time series management system CALANDA which combines both, a powerful dedicated data model and an intuitive GUI. The focus of this paper and the demonstration is to show how CALANDA is ac...